Encoding Stem-Cell-Secreted Extracellular Matrix Protein Capture in Two and Three Dimensions Using Protein Binding Peptides

Abstract

Capturing cell-secreted extracellular matrix (ECM) proteins through cooperative binding with high specificity and affinity is an important function of native tissue matrices during both tissue homeostasis and repair. However, while synthetic hydrogels, such as those based on poly(ethylene glycol) (PEG), are often proposed as ideal materials to deliver human mesenchymal stem cells (hMSCs) to sites of injury to enable tissue repair, they do not have this capability-a capability that would enable cells to actively remodel their local extracellular microenvironment and potentially provide the required feedback control for more effective tissue genesis. In this work, we detail a methodology that engenders poly(ethylene glycol) (PEG)-based two-dimensional substrates and three-dimensional porous hydrogels with the ability to capture desired extracellular matrix (ECM) proteins with high specificity. This "encoded" ECM protein capture is achieved by decorating the PEG-based materials with protein binding peptides (PBPs) synthesized to be specific in their binding of fibronectin, laminin, and collagen I, which are not only the most omnipresent ECM proteins in human tissues but, as we confirmed, are also secreted to differing extents by hMSCs under in vitro maintenance conditions. By encapsulating hMSCs into these PBP-functionalized hydrogels, and culturing them in protein-free maintenance media, we demonstrate that these PBPs not only actively recruit targeted ECM proteins as they are secreted from hMSCs but also retain them to much higher levels compared to nonfunctionalized gels. This novel approach thus enables the fabrication of encoded surfaces and hydrogels that capture cell-secreted proteins, with high specificity and affinity, in a programmable manner, ready for applications in many bioengineering applications, including bioactive surface coatings, bioassays, stem cell culture, tissue engineering, and regenerative medicine.